A wireless control system and control method for a musical fountain

Abstract

This invention relates to the field of wireless control technology, specifically to a wireless control system for a musical fountain. The system comprises the following components: a wireless control host, consisting of a hardware server and a software system embedded within the server; a musical fountain device, consisting of a water pump and lighting components, wirelessly connected to the wireless control host, which controls the fountain device to change light colors, fountain height, and water spray patterns in sync with the music; and a user terminal module, including a smart device that is wirelessly connected to the wireless control host, allowing users to control the musical fountain device via the wireless control host. The wireless control system relies on wireless signals for communication. If other strong wireless signals or interference sources are present in the environment, signal interference may occur, affecting the normal operation of the musical fountain.

Description

Technical Field

[0001] This invention relates to the field of wireless control system technology, and in particular to a wireless control system and control method for a musical fountain. Background Technology

[0002] Current intelligent musical fountain control systems suffer from limited functionality, restricted music storage capacity, and rudimentary user operation methods. Switching on and off the fountain control system requires manual on-site intervention to turn the control cabinet power system on or off. The music is limited, fixed, and cannot be updated. Local operation is extremely inconvenient, and frequent power switching reduces switch lifespan, increases failure rate, and poses personal safety hazards. Long-distance wired control involves complex wiring projects, significant signal attenuation, and the use of frequency converters for motor speed regulation results in significant interference, making precise control difficult. To address this, a utility model (publication number: CN207238355U) specifically discloses a musical fountain control system, comprising: a smart terminal for transmitting remote audio signals and remote control signals for the background music to be played at the musical fountain; a Bluetooth module for receiving the remote audio signals; a storage unit for storing the remote audio signals received by the Bluetooth module; a GSM module for receiving remote control signals; a keyboard module for controlling the current playback order of the background music at the musical fountain through local operation; a frequency converter for outputting a three-phase voltage to control the motor speed of the musical fountain, thereby changing the height of the fountain water column; a local audio interface directly connected to the frequency converter; and a controller connected to the Bluetooth module, storage unit, GSM module, keyboard module, frequency converter, local audio interface, and display module, for controlling the three-phase voltage output by the frequency converter according to the local audio input or remote audio signals. This utility model solves the problem of wireless data transmission in musical fountains, making system control simple and convenient, and reducing management difficulty. However, existing musical fountain control systems still have the following shortcomings in practical applications: 1. Signal interference: The wireless control system relies on wireless signals for communication. If there are other strong wireless signals or interference sources in the environment, it may cause signal interference, thereby affecting the normal operation of the musical fountain.

[0003] 2. Communication delay: Compared with wired communication, wireless communication may have communication delay issues, which may cause a slight delay between the music and the fountain's movements, affecting the overall synchronization effect.

[0004] 3. Stability issues: The wireless control system may be affected by environmental factors, power fluctuations, and other factors, which may lead to a decrease in system stability and thus affect the operation of the musical fountain.

[0005] 4. Transmission distance limitation: The transmission distance of wireless signals is limited. If the musical fountain is large in scale, or if the distance between the control equipment and the fountain is far, it may cause unstable signal transmission or failure.

[0006] 5. Security issues: The wireless control system may be vulnerable to malicious attacks or interference, which could threaten the normal operation of the musical fountain.

[0007] Therefore, a wireless control system and control method for musical fountains are proposed. Summary of the Invention

[0008] The purpose of this invention is to provide a wireless control system and method for musical fountains to solve the problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a wireless control system for a musical fountain, the system comprising the following components; Wireless control host: The wireless control host consists of a hardware server and a software system built into the server; Musical fountain device: The musical fountain device consists of a water pump and lighting components, which are wirelessly connected to a wireless control host. The wireless control host controls the musical fountain device to change the color of the lights, the height of the fountain, and the shape of the water spray in accordance with the rhythm of the music. User terminal module: includes intelligent wireless connection between smart devices and wireless control host, used by users to control the musical fountain device through the user terminal module using the wireless control host; The software system comprises a wireless signal module, a control unit, a sensor perception module, and an audio perception module.

[0010] Preferably, the wireless signal module is used for receiving and transmitting wireless control signals; The control unit is mainly used for analyzing and processing the feedback signal data, and it has a built-in adaptive algorithm and interference detection module.

[0011] Preferably, the interference detection module detects the data information of the received and transmitted wireless control signals and feeds it back to the control unit for analysis and processing. The control unit further optimizes and adjusts the parameters of the feedback data information by combining signal optimization processing with adaptive algorithms.

[0012] Preferably, the interference detection module processes the interference as follows: S1. Signal preprocessing: The algorithm first preprocesses the received signal, including filtering and noise reduction operations, to remove and reduce the influence of interference signals on the original signal. S2. Interference Detection: Next, the algorithm will perform interference detection to identify the characteristics and source of the interference signal; S3. Interference Modeling: By modeling the characteristics of interference signals, the algorithm analyzes the statistical properties and patterns of interference signal data to facilitate further interference suppression and compensation. S4. Interference Suppression: Based on interference modeling and signal preprocessing results, the algorithm employs adaptive filtering, spatial filtering, and frequency-selective filtering to suppress the influence of interference signals. S5. Signal Compensation: While suppressing interference, the algorithm can also repair signals damaged by interference through certain compensation strategies. This can include using error coding and error correction code techniques to restore the integrity and accuracy of the data. S6. Optimize parameter adjustment: Adjust and optimize parameters according to actual conditions, mainly based on real-time signal quality feedback, and adapt to different environments and interference intensities by adaptively adjusting parameter values. S7. Performance Evaluation and Feedback: Evaluate the performance of the optimized signal, compare its quality difference with the original signal, and provide feedback and make improvements based on the results.

[0013] Preferably, the commonly used methods in interference detection, such as S2, include spectrum analysis and time-domain analysis.

[0014] Preferably, the audio sensing module has a built-in audio sensing algorithm. This algorithm mainly reduces the impact of water impurities generated during the use of the musical fountain device on the audio data fed back by the sensor sensing module, thereby reducing the delay caused by the wireless control host controlling the musical fountain device according to the music rhythm.

[0015] Preferably, the audio perception algorithm optimization steps include the following steps: S1. Spectrum attenuation: Water flow noise is usually located in a specific frequency range. Spectrum attenuation techniques are used to reduce frequency energy. Bandpass filters, noise reduction algorithms, and frequency domain masking models are used to attenuate and suppress the spectral components of water flow noise. S2. Noise estimation and cancellation: The noise estimation algorithm is used to determine the statistical characteristics of noise in the audio signal, and then the noise cancellation algorithm is used to subtract it from the audio signal. The main methods used are spectral subtraction, minimum mean square error (MMSE) estimation, and subspace method. S3. Machine Learning Technology: By training on sample data with and without water flow noise, machine learning algorithms are used to classify and identify audio. Support Vector Machine (SVM) and Deep Neural Network (DNN) algorithms are used to build a classification model to distinguish between water flow noise and normal audio.

[0016] S4. Time-Frequency Analysis: By employing the Short-Time Fourier Transform (STFT) time-frequency analysis method, the audio signal is converted from the time domain to the frequency domain representation. This allows for the analysis and processing of water flow noise. Based on the time-frequency characteristics of the water flow noise, thresholds are set, and masking effects are used to weaken and eliminate the noise.

[0017] A method for wireless control of a musical fountain includes the following steps: Step 1: The user logs into the system through the terminal module and selects the specified audio content and fountain type in the musical fountain; Step 2: The wireless control unit identifies and obtains the identification information from the instructions issued by the user terminal module through the software system, and then controls the musical fountain device wirelessly. Step 3: The musical fountain device plays audio data and controls the lights and fountain type according to the audio data content.

[0018] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention achieves real-time monitoring and adaptive adjustment of interference in the communication environment through the coordinated operation of the interference detection module and the adaptive adjustment module, thereby effectively improving the anti-interference capability of the wireless communication system; 2. It can realize wireless and intelligent control of musical fountains, simplify system wiring, improve system maintainability and reliability, and overcome the signal interference and communication delay problems of existing wireless control systems, thereby improving the operating effect of musical fountains; 3. Achieving visual effects perfectly synchronized with music through intelligent control algorithms and sensing technology. This patent application is innovative and has promising practical applications in public spaces, entertainment venues, and other fields. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a block diagram of the wireless control system for a musical fountain according to the present invention; Figure 2 This is a block diagram of the software system and musical fountain device of the present invention; Figure 3 This is a flowchart of the interference detection module optimization process of the present invention; Figure 4 This is a diagram illustrating the optimization steps of the audio perception algorithm of the present invention; Figure 5 This is a diagram of the wireless control method for a musical fountain according to the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figures 1 to 5 The present invention provides the following technical solution: A wireless control system for a musical fountain, the system comprising the following components; Wireless control host: The wireless control host consists of a hardware server and a software system built into the server; Musical fountain device: The musical fountain device consists of a water pump and lighting components, which are wirelessly connected to a wireless control host. The wireless control host controls the musical fountain device to change the color of the lights, the height of the fountain, and the shape of the water spray in accordance with the rhythm of the music. User terminal module: includes intelligent wireless connection between smart devices and wireless control host, used by users to control the musical fountain device through the user terminal module using the wireless control host; The software system comprises a wireless signal module, a control unit, a sensor perception module, and an audio perception module.

[0023] The wireless signal module is used for receiving and transmitting wireless control signals; The control unit is mainly used for analyzing and processing the feedback signal data, and it has a built-in adaptive algorithm and interference detection module.

[0024] Preferably, the interference detection module detects the data information of the received and transmitted wireless control signals and feeds it back to the control unit for analysis and processing. The control unit further optimizes and adjusts the parameters of the feedback data information by combining signal optimization processing with adaptive algorithms.

[0025] The interference detection module processes the following steps: S1. Signal preprocessing: The algorithm first preprocesses the received signal, including filtering and noise reduction operations, to remove and reduce the influence of interference signals on the original signal. S2. Interference Detection: Next, the algorithm will perform interference detection to identify the characteristics and source of the interference signal; S3. Interference Modeling: By modeling the characteristics of interference signals, the algorithm analyzes the statistical properties and patterns of interference signal data to facilitate further interference suppression and compensation. S4. Interference Suppression: Based on interference modeling and signal preprocessing results, the algorithm employs adaptive filtering, spatial filtering, and frequency-selective filtering to suppress the influence of interference signals. S5. Signal Compensation: While suppressing interference, the algorithm can also repair signals damaged by interference through certain compensation strategies. This can include using error coding and error correction code techniques to restore the integrity and accuracy of the data. S6. Optimize parameter adjustment: Adjust and optimize parameters according to actual conditions, mainly based on real-time signal quality feedback, and adapt to different environments and interference intensities by adaptively adjusting parameter values. S7. Performance Evaluation and Feedback: Evaluate the performance of the optimized signal, compare its quality difference with the original signal, and provide feedback and make improvements based on the results.

[0026] The commonly used methods in interference detection, as mentioned in S2, include spectrum analysis and time-domain analysis.

[0027] Example 3: The audio sensing module has a built-in audio sensing algorithm. This algorithm mainly reduces the impact of water impurities generated during the use of the musical fountain device on the audio data fed back by the sensor sensing module, thereby reducing the delay caused by the wireless control host controlling the musical fountain device according to the music rhythm.

[0028] The audio perception algorithm optimization steps include the following steps: S1. Spectrum attenuation: Water flow noise is usually located in a specific frequency range. Spectrum attenuation techniques are used to reduce frequency energy. Bandpass filters, noise reduction algorithms, and frequency domain masking models are used to attenuate and suppress the spectral components of water flow noise. S2. Noise estimation and cancellation: The noise estimation algorithm is used to determine the statistical characteristics of noise in the audio signal, and then the noise cancellation algorithm is used to subtract it from the audio signal. The main methods used are spectral subtraction, minimum mean square error (MMSE) estimation, and subspace method. S3. Machine Learning Technology: By training on sample data with and without water flow noise, machine learning algorithms are used to classify and identify audio. Support Vector Machine (SVM) and Deep Neural Network (DNN) algorithms are used to build a classification model to distinguish between water flow noise and normal audio.

[0029] S4. Time-Frequency Analysis: By employing the Short-Time Fourier Transform (STFT) time-frequency analysis method, the audio signal is converted from the time domain to the frequency domain representation. This allows for the analysis and processing of water flow noise. Based on the time-frequency characteristics of the water flow noise, thresholds are set, and masking effects are used to weaken and eliminate the noise.

[0030] A method for wireless control of a musical fountain includes the following steps: Step 1: The user logs into the system through the terminal module and selects the specified audio content and fountain type in the musical fountain; Step 2: The wireless control unit identifies and obtains the identification information from the instructions issued by the user terminal module through the software system, and then controls the musical fountain device wirelessly. Step 3: The musical fountain device plays audio data and controls the lights and fountain type according to the audio data content.

[0031] 1. This invention achieves real-time monitoring and adaptive adjustment of interference in the communication environment through the coordinated operation of the interference detection module and the adaptive adjustment module, thereby effectively improving the anti-interference capability of the wireless communication system; 2. It can realize wireless and intelligent control of musical fountains, simplify system wiring, improve system maintainability and reliability, and overcome the signal interference and communication delay problems of existing wireless control systems, thereby improving the operating effect of musical fountains; 3. Achieving visual effects perfectly synchronized with music through intelligent control algorithms and sensing technology. This patent application is innovative and has promising practical applications in public spaces, entertainment venues, and other fields.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A wireless control system for a musical fountain, characterized in that, The system comprises the following components; Wireless control host: The wireless control host consists of a hardware server and a software system built into the server; Musical fountain device: The musical fountain device consists of a water pump and lighting components, which are wirelessly connected to a wireless control host. The wireless control host controls the musical fountain device to change the color of the lights, the height of the fountain, and the shape of the water spray in accordance with the rhythm of the music. User terminal module: includes intelligent wireless connection between smart devices and wireless control host, used by users to control the musical fountain device through the user terminal module using the wireless control host; The software system comprises a wireless signal module, a control unit, a sensor perception module, and an audio perception module.

2. The wireless control system for a musical fountain according to claim 1, characterized in that: The wireless signal module is used for receiving and transmitting wireless control signals; The control unit is mainly used for analyzing and processing the feedback signal data, and it has a built-in adaptive algorithm and interference detection module.

3. The wireless control system for a musical fountain according to claim 1 is characterized in that: The interference detection module detects the data information of the wireless control signal reception and transmission and feeds it back to the control unit for analysis and processing. The control unit further optimizes and adjusts the parameters of the feedback data information by combining signal optimization processing with adaptive algorithms.

4. The wireless control system for a musical fountain according to claim 3, characterized in that: The interference detection module processes the following steps: S1. Signal preprocessing: The algorithm first preprocesses the received signal, including filtering and noise reduction operations, to remove and reduce the influence of interference signals on the original signal. S2. Interference Detection: Next, the algorithm will perform interference detection to identify the characteristics and source of the interference signal; S3. Interference Modeling: By modeling the characteristics of interference signals, the algorithm analyzes the statistical properties and patterns of interference signal data to facilitate further interference suppression and compensation. S4. Interference Suppression: Based on interference modeling and signal preprocessing results, the algorithm employs adaptive filtering, spatial filtering, and frequency-selective filtering to suppress the influence of interference signals. S5. Signal Compensation: While suppressing interference, the algorithm can also repair signals damaged by interference through certain compensation strategies. This can include using error coding and error correction code techniques to restore the integrity and accuracy of the data. S6. Optimize parameter adjustment: Adjust and optimize parameters according to actual conditions, mainly based on real-time signal quality feedback, and adapt to different environments and interference intensities by adaptively adjusting parameter values. S7. Performance Evaluation and Feedback: Evaluate the performance of the optimized signal, compare its quality difference with the original signal, and provide feedback and make improvements based on the results.

5. A wireless control system for a musical fountain according to claim 4, characterized in that: The commonly used methods in interference detection, as mentioned in S2, include spectrum analysis and time-domain analysis.

6. The wireless control system and control method for a musical fountain according to claim 1, characterized in that: The audio sensing module has a built-in audio sensing algorithm. This algorithm mainly reduces the impact of water impurities generated during the use of the musical fountain device on the audio data fed back by the sensor sensing module, thereby reducing the delay caused by the wireless control host controlling the musical fountain device according to the music rhythm.

7. A wireless control system for a musical fountain according to claim 6, characterized in that: The audio perception algorithm optimization steps include the following steps: S1. Spectrum attenuation: Water flow noise is usually located in a specific frequency range. Spectrum attenuation techniques are used to reduce frequency energy. Bandpass filters, noise reduction algorithms, and frequency domain masking models are used to attenuate and suppress the spectral components of water flow noise. S2. Noise estimation and cancellation: The noise estimation algorithm is used to determine the statistical characteristics of noise in the audio signal, and then the noise cancellation algorithm is used to subtract it from the audio signal. The main methods used are spectral subtraction, minimum mean square error (MMSE) estimation, and subspace method.

8. The wireless control system and control method for a musical fountain according to claim 1, characterized in that: The audio perception algorithm optimization steps also include the following steps: S3. Machine Learning Technology: By training on sample data with and without water flow noise, machine learning algorithms are used to classify and identify audio. Support Vector Machine (SVM) and Deep Neural Network (DNN) algorithms are used to build a classification model to distinguish between water flow noise and normal audio.

9. The wireless control system and method for a musical fountain according to claim 1, characterized in that: The audio perception algorithm optimization steps also include the following steps: S4. Time-Frequency Analysis: By employing the Short-Time Fourier Transform (STFT) time-frequency analysis method, the audio signal is converted from the time domain to the frequency domain representation. This allows for the analysis and processing of water flow noise. Based on the time-frequency characteristics of the water flow noise, thresholds are set, and masking effects are used to weaken and eliminate the noise.

10. A wireless control method for a musical fountain according to any one of claims 1-9, characterized in that: Includes the following steps: Step 1: The user logs into the system through the terminal module and selects the specified audio content and fountain type in the musical fountain; Step 2: The wireless control unit identifies and obtains the identification information from the instructions issued by the user terminal module through the software system, and then controls the musical fountain device wirelessly. Step 3: The musical fountain device plays audio data and controls the lights and fountain type according to the audio data content.

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